Predicts the Antifreeze protein. iAFP-Ense is a protector that can become a useful high-throughput software for both basic research and drug development. This random forests algorithm was adopted to conduct prediction using each descriptor features and the final result was gotten by integrating all the random forests results via voting. To obtain the predicted result with the anticipated success rate, the entire sequence of the query protein rather than its fragment should be used as an input.

Type:

Web

iAFP-Ense specifications

Unique identifier:

OMICS_18263

Restrictions to use:

None

Input format:

FASTA

Stability:

Stable

Interface:

Web user interface

Input data:

Sequences of query protein.

Computer skills:

Basic

Maintained:

No

iAFP-Ense support

Maintainers

This tool is not available anymore.

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Publications

Institution(s)

Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen, China; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China; School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China